SF Python Presentation Night - Accelerated Datascience and Custom Tooling

Want to learn more about Python and meet other Pythonistas?

🚨 IMPORTANT: YOU MUST REGISTER ON TITO PRIOR TO THIS EVENT! 🚨
➡️ REGISTRATION LINK HERE ⬅️
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Join us at our upcoming in-person events, designed to cultivate and strengthen our community and ecosystem. Engage in conversations with our esteemed speakers and fellow attendees, while also expanding your network. At SF Python, we are committed to delivering exceptional value at a reasonable cost, with access to top-notch content. We also provide snacks and drinks at all of our events – so come hungry!

SCHEDULED TALKS

🔎 Short talk (~20 mins)
Accelerated Datascience Libraries and Where to Find Them
Speaker: Ashot Vardanian, Founder @ Unum

It is 2023, and we need to process a lot of data fast, but how? You can switch the BLAS version in NumPy. You can take CuPy instead, to get GPU acceleration for Linear Algebra. You can replace NetworkX with RetworkX and cuGraph. You can replace Pandas with Modin, cuDF or Dask. All of that is easy but comes with different pitfalls and hidden inefficiencies. Let's meet together and learn, what the best tool for the job is!

Ashot Vardanian is a Computer Science and Artificial Intelligence Researcher and the organizer of the C++ Community of Armenia. His work mainly focuses on High-Performance Computing and Systems Design, such as GPGPU Algorithms and Compilers, SIMD Assembly on x86 and Arm, drivers, and Linux kernel bypass technologies for high-throughput IO in both storage and networking. He also runs a startup called Unum Cloud and actively contributes to Open-Source with his teams.

🔎 Short talk (~20 mins + Q&A)
Your Retrospectives in a CAST
Speaker: Moshe Zadka

CAST is a methodology to investigate incidents. Incident investigations (retrospectives, or what some still call post-mortems) are important as part of reliability engineering. In this talk Moshe will cover the what, why, and how of CAST-based analysis for software-related incidents.

🔎 Main talk (~25 mins + Q&A)
Timeseries Analysis at Sentry
Speaker: Tillman Elser, Engineering Manager, Data and ML @ Sentry

In this talk, you'll learn more about the algorithm that Tillman and Sentry's data team generated in order to determine what issue volume is considered as "escalating" for each issue. We'll cover:

• the difficulties with signal to noise at Sentry in our issues feed
• a few options and strategies to improve it
• a rough overview, implementation and goals of the escalating issues algorithm
• time permitting, a demo on our work on trend detection + statistical detectors

If you have any questions, want to host a Meetup, etc. please feel free to contact us at tanya@pybay.com.

AGENDA
6:30p Food and Hangout
7:00p Opening remarks, sponsors acknowledgement
7:10p Scheduled talks and Q&A + networking
8:30p Wrap up last talk, more networking until 9:00p

THIS EVENT IS PRODUCED BY
SF Python, a volunteers-run organization aiming to foster the Python Community in the Bay Area, member of BAPyA